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Welcome back to the automation podcast. The world's

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number one industrial automation product technology show thanks

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to you,

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our audience of highly skilled automation professionals. Thank

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you for being a member of our audience,

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and thank you for tuning back in this

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week. Now for those new to the show,

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my name is Sean Tierney from Insights and

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Automation. And each week, I invite a new

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person on the show to talk about products,

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technologies, applications, and just all things automation.

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And with that,

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I wanna welcome Eric

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from PlusOne Robotics.

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When, they reached out to me, about having

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you on, I'm like, this sounds really interesting.

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So but before we get into

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PlusOne Robotics and what manufacturers can do in

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America to be more competitive,

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let's learn a little bit about you and

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who are you, and, you know, tell the

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audience a little bit about yourself. Sean, I'm

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really excited to be with you. This has

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been a long time coming, and I'm happy

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to, you know, share this podcast with you

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today.

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So I'm Eric Nieves, and I'm the founder

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of PlusOne Robotics

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in Texas.

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And we focus on warehouse automation,

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but, you know, I found your content compelling

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because prior to PlusOne,

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I spent twenty five years at Yaskawa.

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Right? Yep.

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And I was the head of r and

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d at Yaskawa,

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the technology director

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for, you know, a number of years before

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making the change to start my own company.

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But,

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you know, we've been directly responsible for thousands

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upon thousands of robots in manufacturing

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contexts.

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Everything from, you know, high volume automotive to

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small to medium

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to,

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you know, one off

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robots

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in microgravity,

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all kinds of things.

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And so, you know, an audience like yours

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that represents just so many different facets of

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automation,

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we thought would be a fun time.

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Yeah. And we have covered Jaskawa, Motoman

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quite a bit along with all those other

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companies that they're kinda in the same niche

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as. And so that you were in r

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and d, so you have that pedigree of,

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knowing, like, what was going on in the

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industry and what the competitors were doing and

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how everybody was trying to one up each

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other. And,

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so there's so many great names in that

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space. And now you've started plus for robotics.

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And I think a lot of people think

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of robotics. They're thinking of, you know, everything

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from the simple pick and place machines that

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put together to assembly

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to,

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the big ones that lift whole card bodies

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so they can be, you know, welded together

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to, you know, you know, a lot of

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conveyor you know, putting things on and off

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conveyors now, you know, a lot of palletizing

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and depalletizing of robots on them, and even,

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machine tending, which is something like you didn't

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hear too much of before COVID. Right? But

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machine tending

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and, so but in warehousing,

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you know, I'm looking at the robot behind

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you. In warehouse, and a lot of time

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I'm thinking about,

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you know, AMRs, AGVs.

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But, tell us a little bit about when

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you started this company, like, what was your

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goal with it? What are you what are

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you trying to do that's new, different, exciting,

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and, you know, solves challenges that people face

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today?

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Yeah. Well, it kinda comes back to when

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I was still at Yaskawa.

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Mhmm.

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You know, we had all kinds of people

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reaching out to us to try to help

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them with their problems,

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and, you know,

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increasingly,

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more and more of them outside of manufacturing.

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Yep.

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And,

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you know, I had one in particular that's

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a a big parcel courier

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come to us and say, hey. We really

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need help unloading

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trucks.

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Oh.

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Can you, you know, have robots

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do that for us? And I told them,

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guys, you don't have a robot problem.

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You have a perception and grasping problem.

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Right? The robot's not your issue. You could

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just get any robot, but you don't yeah.

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Everything you do is variable.

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Nothing you do is repetitive.

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Yeah. So you need to perceive and understand

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the scene

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and then still be able to interact with

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this package, which is gonna be different than

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the last package, which is gonna be different

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from the next package. Yeah. Oh, you know,

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you don't have a robot problem, and I

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would send them along their way.

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Well, you know, you do this for three

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or four years to more and more of

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these people, you wake up one day and

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go, wait a minute.

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Yep.

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We should just go do this.

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And,

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I was fortunate because

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my cofounder,

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Sean Edwards, was working on that very problem,

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computer vision for cluttered seats.

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Yeah. Yeah.

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And so, you know, we said, hey, we

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bring,

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you know, the sort of engineering

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and chops

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of high end,

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you know, AI enabled computer vision

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to industrial robots, we actually are gonna be

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able to say yes to some of these

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opportunities instead of no.

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And that sort of was the genesis of

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PlusOne

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Robotics.

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Right?

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And it fundamentally

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differs from manufacturing

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because of this notion of repeatability

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versus variability.

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Mhmm. Right? You know, in my manufacturing

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days,

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everything

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was,

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I need to do the same thing the

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same way for the next however many thousand

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cycles.

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And your value was in your ability to

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repeat

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precisely.

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Right? Yep. But in the supply chain world,

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you don't have repeatability

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at all.

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Everything that comes down the line is different.

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And

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so you end up with

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variability

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being the driver of value, not repeatability.

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And variability

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requires sensing.

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So if you're gonna do anything meaningful in

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the supply chain space, the first thing you

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gotta do is give it eyes.

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And those eyes are obviously,

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you know, cameras, three d sensors, time of

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flight. There's a lot of different sort of

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technologies for image

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Mhmm. But you then need to

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it's not enough just to get data. You

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then have to understand what is this scene

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telling me,

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and how do I then command the robot

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to do something valuable,

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how to pick the next package.

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And that's really where our,

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sweet spot was, was in writing that software

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layer that took standard camera images

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and turned them into robot action.

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If you or somebody you know needs training

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on CompactLogix,

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ControlLogix,

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or really virtually any Allen Bradley programmable controller

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released over the last, say, forty years, then

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I wanna share with you what I'm working

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on right now for release in early twenty

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twenty six. And, you know, if you've been

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following me, you probably know I release a

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new course every year. But for 2026,

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I decided that I was gonna refilm all

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of my Allen Bradley PLC courses and release

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two new courses on the legacy PLC five

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and slick 500. And this all came about

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as I'm here in my physical training room

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in the Berkshires

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working on new labs for 2026 for the

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in person courses. I'm like, this is the

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perfect time to update all my Allen Bradley

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online courses.

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So if you are already enrolled in one

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of my level one and two or what

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I call my extended courses,

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just know that you're gonna get these new

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courses completely free of charge. And if you

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ever bought a mega bundle or ultimate bundle,

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that's what comes in those courses on the

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extended edition. So you're gonna get the new

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courses completely free. And if you're a new

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student

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who comes in and buy the new course,

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you're gonna get the old one as well.

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And I'm doing this for those people who

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maybe they're servicing old control logic systems with

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control net, and they're using, like, version 20

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of the software. Well, it looks a lot

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different and operates a lot different than what

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version 31 and above does. Right? So in

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any case, I do wanna share that with

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you. And, again, if you know anybody looking

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for either in person training or online training,

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please send them my way. And with that,

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let me get you right back into this

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week's episode

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of the automation podcast.

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Yeah. You know, it's you think of a

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depalletizer. It's the same thing that depalletizing.

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Well, maybe a little variation that can be

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built in, but you maybe have two or

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three different types of products on pallets. And

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the depalletizer, that's all I have to know

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about. But with a truck,

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the orders come in different.

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We're ordering different stuff every day. Not many

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of us order the same mix all the

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time. And then you times that by, you

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know, 10,000 people that may have orders in

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a couple of trucks.

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Those packets, they're all different sizes, all different

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shapes.

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And Yeah. To be able to automate the

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the

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deep deep

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trailering

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of all those boxes. Right? Yeah. I see

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exactly where you need the perception.

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You need to understand the space, be able

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to detect all the individual packages and boxes,

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and then be able to accurately pick them

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up, orientate some, pick them up, and put

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them on a conveyor.

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So vision Yeah. I wanna go back to

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what you were saying on depalletizing

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because

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you are right.

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It used to be that pallets came in

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and they were homogeneous. Yeah. They would all

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be the same,

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box or case on them, and so the

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robot could be blind. All it needed to

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know was the pattern. Yeah. They could repeat

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that pattern, and usually there were two patterns.

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Right? Because each layer Literally. Was interlocked. Yep.

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But the robot effectively didn't need any smarts.

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00:09:55,470 --> 00:09:57,090
Mhmm. It just needed to remember.

276
00:09:57,789 --> 00:09:58,289
But

277
00:09:58,590 --> 00:10:01,470
as you and I, our buying habits have

278
00:10:01,470 --> 00:10:04,509
continued to change Mhmm. It means that what

279
00:10:04,509 --> 00:10:07,115
goes to the stores anymore or the DCs

280
00:10:07,335 --> 00:10:10,134
is not a whole pallet of the same

281
00:10:10,134 --> 00:10:12,934
thing. No. You now have more and more

282
00:10:12,934 --> 00:10:15,995
pallets are moving to mixed product. Yeah.

283
00:10:16,375 --> 00:10:17,595
Right? So,

284
00:10:18,889 --> 00:10:21,610
all of a sudden, that same robot that

285
00:10:21,610 --> 00:10:23,549
was so successful at depalletizing

286
00:10:24,090 --> 00:10:25,389
homogeneous skews

287
00:10:26,169 --> 00:10:28,269
cannot tolerate mixed skews.

288
00:10:28,809 --> 00:10:31,929
Mhmm. And so our vision system found a

289
00:10:31,929 --> 00:10:33,070
role to play

290
00:10:33,414 --> 00:10:34,634
in mixed depalletizing.

291
00:10:36,375 --> 00:10:38,934
And today, we're probably the largest supplier of

292
00:10:38,934 --> 00:10:39,754
mixed depalletizing

293
00:10:40,294 --> 00:10:42,235
robots in the country Right.

294
00:10:42,774 --> 00:10:44,075
Because our technology

295
00:10:45,095 --> 00:10:46,715
unlocked what was already

296
00:10:47,339 --> 00:10:50,620
an existing application, but had been limited. Yeah.

297
00:10:50,620 --> 00:10:54,379
Right? Yep. So, yes, the ultimate expression of

298
00:10:54,379 --> 00:10:54,879
variability

299
00:10:55,500 --> 00:10:57,659
to your point is you pull up a

300
00:10:57,659 --> 00:10:59,419
truck and you open and you go, oh

301
00:10:59,419 --> 00:11:00,319
my god.

302
00:11:00,725 --> 00:11:01,865
What is all that?

303
00:11:02,965 --> 00:11:03,785
And so,

304
00:11:05,205 --> 00:11:07,985
you know, the truck is sort of the

305
00:11:08,165 --> 00:11:11,945
last step on the development platform for automated

306
00:11:12,165 --> 00:11:12,665
unload.

307
00:11:13,365 --> 00:11:16,024
It's a exceedingly difficult problem

308
00:11:17,429 --> 00:11:17,929
because

309
00:11:18,309 --> 00:11:20,709
of everything we've talked about. Plus now it

310
00:11:20,709 --> 00:11:23,190
needs to be a mobile system to drive

311
00:11:23,190 --> 00:11:25,049
into a 53 foot van,

312
00:11:26,389 --> 00:11:28,149
and you now are having to bring your

313
00:11:28,149 --> 00:11:30,089
lighting with you. Right?

314
00:11:30,625 --> 00:11:33,184
Remember Sean, this is all computer vision. Yeah.

315
00:11:33,184 --> 00:11:34,404
And computer vision

316
00:11:34,784 --> 00:11:36,084
is, you know,

317
00:11:37,024 --> 00:11:40,565
dependent on lighting being Very much better. Consistent.

318
00:11:40,865 --> 00:11:42,164
Yep. Right? So,

319
00:11:43,600 --> 00:11:45,759
we do have, you know, some of our

320
00:11:45,759 --> 00:11:48,720
colleagues at, other companies in the warehouse automation

321
00:11:48,720 --> 00:11:50,419
space that are focusing specifically

322
00:11:51,120 --> 00:11:52,259
on the truck problem.

323
00:11:53,519 --> 00:11:55,840
And, what we have found is there are

324
00:11:55,840 --> 00:11:58,340
so many other problems within the warehouse

325
00:11:58,894 --> 00:12:00,115
that also require

326
00:12:00,415 --> 00:12:01,955
computer vision for variability

327
00:12:02,495 --> 00:12:03,554
Mhmm. With grasping.

328
00:12:04,335 --> 00:12:06,575
We've done you know, we spent a lot

329
00:12:06,575 --> 00:12:10,174
more time within inside the four walls of

330
00:12:10,174 --> 00:12:12,495
the warehouse rather than at the dock. Mhmm.

331
00:12:12,495 --> 00:12:14,889
Mhmm. Yeah. And tell us some of the

332
00:12:14,889 --> 00:12:17,769
applications that you guys, you know, do on

333
00:12:17,769 --> 00:12:20,190
a regular basis where you're solving an application

334
00:12:20,250 --> 00:12:22,970
that's a pain point for either warehouse or

335
00:12:22,970 --> 00:12:23,470
manufacturer.

336
00:12:24,169 --> 00:12:25,769
You know, not that you know, I don't

337
00:12:25,769 --> 00:12:27,850
need to know the specific, you know, product,

338
00:12:27,850 --> 00:12:29,254
but what type of applications

339
00:12:29,555 --> 00:12:30,695
are we talking about?

340
00:12:32,035 --> 00:12:34,274
I mean, a lot of our work is

341
00:12:34,274 --> 00:12:34,774
in

342
00:12:35,154 --> 00:12:36,535
loading sorting machines.

343
00:12:37,075 --> 00:12:38,215
Okay. So

344
00:12:38,595 --> 00:12:42,570
if you are a overnight parcel courier Mhmm.

345
00:12:44,410 --> 00:12:47,210
You bring in all of the shipments that

346
00:12:47,210 --> 00:12:49,230
you have gathered for the day and

347
00:12:49,850 --> 00:12:50,350
you,

348
00:12:51,450 --> 00:12:53,870
you know, bring them to a central network,

349
00:12:54,970 --> 00:12:55,950
those hubs

350
00:12:56,410 --> 00:12:57,945
have, you know,

351
00:12:58,345 --> 00:12:59,565
miles of conveyor.

352
00:13:00,664 --> 00:13:03,485
And all of that all of those parcels

353
00:13:03,705 --> 00:13:05,325
end up being aggregated

354
00:13:05,705 --> 00:13:07,404
into this big river

355
00:13:08,024 --> 00:13:08,764
of packages.

356
00:13:10,240 --> 00:13:12,799
And ultimately, they need to be sorted by

357
00:13:12,799 --> 00:13:15,279
ZIP code or by region so they'd make

358
00:13:15,279 --> 00:13:17,600
their way to you. Yep. And it might

359
00:13:17,600 --> 00:13:18,980
have to be sorted

360
00:13:19,360 --> 00:13:22,559
multiple times before it's granular enough to get

361
00:13:22,559 --> 00:13:24,820
on that outbound truck. Mhmm. Right?

362
00:13:25,254 --> 00:13:25,754
But,

363
00:13:26,934 --> 00:13:28,154
so there are

364
00:13:28,615 --> 00:13:30,634
high speed loop sorters

365
00:13:31,014 --> 00:13:33,574
that that's what they do. They scan your

366
00:13:33,574 --> 00:13:37,194
package and dump it off into the appropriate

367
00:13:37,735 --> 00:13:38,235
destination.

368
00:13:39,629 --> 00:13:41,889
But loading those sorting machines

369
00:13:42,269 --> 00:13:44,450
has traditionally been manual,

370
00:13:45,470 --> 00:13:48,110
and that is an intense application because you

371
00:13:48,110 --> 00:13:50,029
got a lot of volume over a short

372
00:13:50,029 --> 00:13:52,589
window of time, right, that needs to be

373
00:13:52,589 --> 00:13:53,089
processed.

374
00:13:53,914 --> 00:13:57,355
And so plus one sort of reed the

375
00:13:57,355 --> 00:13:58,574
market in

376
00:13:58,875 --> 00:14:01,774
what's called singulation or parcel induction

377
00:14:02,554 --> 00:14:04,334
onto the sorting machines.

378
00:14:04,714 --> 00:14:06,350
And so you can picture

379
00:14:07,049 --> 00:14:08,190
this big flood

380
00:14:08,889 --> 00:14:09,370
of,

381
00:14:09,769 --> 00:14:11,629
packages and they come in a slug

382
00:14:12,250 --> 00:14:14,509
and it stops in front of the robot.

383
00:14:15,129 --> 00:14:18,509
The robot sees, you know, fifty, sixty packages

384
00:14:18,570 --> 00:14:20,834
at one time in a big, you know,

385
00:14:20,834 --> 00:14:21,855
sort of,

386
00:14:22,355 --> 00:14:22,855
jumble,

387
00:14:23,315 --> 00:14:25,875
the cameras look at that and say, here's

388
00:14:25,875 --> 00:14:27,475
the next one you should go get and

389
00:14:27,475 --> 00:14:28,995
here's the one that you should go get.

390
00:14:28,995 --> 00:14:30,995
Sometimes we have one robot, sometimes we have

391
00:14:30,995 --> 00:14:31,975
multiple robots

392
00:14:32,434 --> 00:14:34,375
working in these in the area

393
00:14:34,779 --> 00:14:37,279
to get the packages out. And

394
00:14:37,580 --> 00:14:39,339
the the whole point is to put them

395
00:14:39,339 --> 00:14:41,120
on the outbound side

396
00:14:41,500 --> 00:14:43,580
one at a time. That's why the process

397
00:14:43,580 --> 00:14:44,559
is called singulation

398
00:14:44,940 --> 00:14:47,419
because you gotta go from bulk flow, which

399
00:14:47,419 --> 00:14:50,335
is your inbound, to simulated flow for the

400
00:14:50,335 --> 00:14:50,835
outbound.

401
00:14:52,254 --> 00:14:54,995
And people do that, you know, very adeptly

402
00:14:55,534 --> 00:14:56,595
because we have

403
00:14:57,134 --> 00:14:59,554
eyes with stereo vision and very quick,

404
00:15:00,654 --> 00:15:03,534
you know, decision making, and we have two

405
00:15:03,534 --> 00:15:04,034
hands.

406
00:15:04,610 --> 00:15:05,110
Right?

407
00:15:05,889 --> 00:15:06,389
But

408
00:15:06,929 --> 00:15:08,549
it's not a job people enjoy.

409
00:15:09,809 --> 00:15:10,629
You can imagine.

410
00:15:11,730 --> 00:15:14,450
You have to do that, you know, 28,

411
00:15:14,450 --> 00:15:16,929
30 times a minute for the next four,

412
00:15:16,929 --> 00:15:18,149
six, eight hours.

413
00:15:18,725 --> 00:15:20,105
It's just not much fun.

414
00:15:20,565 --> 00:15:23,785
So automation plays that role now increasingly.

415
00:15:24,884 --> 00:15:27,684
So that's probably the banner. When I say

416
00:15:27,684 --> 00:15:29,925
we do a billion picks a day or

417
00:15:29,925 --> 00:15:32,279
a million picks total and we do over

418
00:15:32,279 --> 00:15:33,799
a million picks a day, the bulk of

419
00:15:33,799 --> 00:15:35,639
them are gonna be loading a sorting machine

420
00:15:35,639 --> 00:15:38,679
somewhere in the world between North America and

421
00:15:38,679 --> 00:15:39,179
Europe.

422
00:15:39,639 --> 00:15:41,879
Is there this is just curiosity. Is there

423
00:15:41,879 --> 00:15:44,299
any orientation concerns for the label?

424
00:15:44,654 --> 00:15:46,735
Like, so you're picking typically, there's one label

425
00:15:46,735 --> 00:15:48,975
on a six sided or, you know, box.

426
00:15:48,975 --> 00:15:50,735
Right? Is there any Right. Does that come

427
00:15:50,735 --> 00:15:52,674
into play with the with the It absolutely

428
00:15:52,815 --> 00:15:55,214
does because you have to in order to

429
00:15:55,214 --> 00:15:56,834
sort it, you gotta scan it.

430
00:15:57,454 --> 00:15:57,929
Right?

431
00:15:58,889 --> 00:16:01,769
So, that barcode tells us a lot of

432
00:16:01,769 --> 00:16:04,169
information. It doesn't tell us the information. We

433
00:16:04,169 --> 00:16:06,490
don't pay any attention to the barcode, but

434
00:16:06,490 --> 00:16:09,049
we're responsible for ensuring that the system can

435
00:16:09,049 --> 00:16:10,110
read it downstream.

436
00:16:10,490 --> 00:16:11,445
Okay. Now

437
00:16:11,924 --> 00:16:13,065
in some applications,

438
00:16:13,684 --> 00:16:14,745
this is easy

439
00:16:15,125 --> 00:16:18,105
because they'll have a six sided tunnel

440
00:16:18,644 --> 00:16:21,845
downstream. Okay. Yep. And if that's the case,

441
00:16:21,845 --> 00:16:22,904
then orientation

442
00:16:23,365 --> 00:16:25,544
from us doesn't Doesn't matter. Yeah.

443
00:16:25,899 --> 00:16:28,220
But if they have a five sided or

444
00:16:28,220 --> 00:16:29,279
a four sided,

445
00:16:30,139 --> 00:16:31,519
tunnel, then it does.

446
00:16:31,899 --> 00:16:34,220
And we'll have to ensure that the label

447
00:16:34,220 --> 00:16:35,919
is face up. Okay.

448
00:16:36,620 --> 00:16:39,495
We do that, but you can imagine, Sean,

449
00:16:39,495 --> 00:16:41,414
that comes at a cycle time penalty. Oh,

450
00:16:41,414 --> 00:16:41,914
yeah.

451
00:16:42,534 --> 00:16:44,134
Right? Because I may have to handle it

452
00:16:44,134 --> 00:16:46,054
twice to be able to get it in

453
00:16:46,054 --> 00:16:47,034
the right orientation.

454
00:16:47,894 --> 00:16:48,394
So,

455
00:16:49,174 --> 00:16:50,875
for lower volume applications,

456
00:16:51,815 --> 00:16:54,199
that is still an option. For high volume,

457
00:16:54,339 --> 00:16:56,419
they're always gonna invest in the six sided

458
00:16:56,419 --> 00:16:58,500
tunnel because they really want right out the

459
00:16:58,500 --> 00:17:00,259
back door. Got it. Got it. That makes

460
00:17:00,259 --> 00:17:01,779
a lot of sense now. Yeah. I was

461
00:17:01,779 --> 00:17:03,799
wondering about that because you gotta scan it.

462
00:17:04,099 --> 00:17:06,259
You gotta scan it. You know, we were

463
00:17:06,259 --> 00:17:07,480
talking in the preshow

464
00:17:07,779 --> 00:17:08,279
about,

465
00:17:09,164 --> 00:17:12,065
you know, practical steps small and midside manufacturers

466
00:17:12,445 --> 00:17:13,184
can take,

467
00:17:14,205 --> 00:17:15,345
to adopt automation.

468
00:17:16,045 --> 00:17:17,565
And so I wanted to get your take

469
00:17:17,565 --> 00:17:19,245
on that, you know, as it as it

470
00:17:19,245 --> 00:17:21,424
relates to your experience and your company.

471
00:17:22,285 --> 00:17:24,880
Yeah. So this has less to do with

472
00:17:25,019 --> 00:17:27,579
plus one per se and more to do

473
00:17:27,579 --> 00:17:29,519
with my work with the a three.

474
00:17:29,980 --> 00:17:30,480
So

475
00:17:31,019 --> 00:17:33,440
the Association for Advancing Automation,

476
00:17:33,900 --> 00:17:35,660
I sit on the board of the a

477
00:17:35,660 --> 00:17:38,160
three. I've been involved for many, many years.

478
00:17:38,684 --> 00:17:39,184
And,

479
00:17:40,204 --> 00:17:43,424
as you know, we're the leading trade association

480
00:17:43,724 --> 00:17:45,105
for driving robotics,

481
00:17:46,125 --> 00:17:47,105
into industry.

482
00:17:47,884 --> 00:17:48,384
And,

483
00:17:49,005 --> 00:17:51,265
you know, Detroit does not have a problem.

484
00:17:51,325 --> 00:17:53,265
Detroit knows how to use robots.

485
00:17:53,849 --> 00:17:55,069
Right? Automotive

486
00:17:55,369 --> 00:17:56,269
is set,

487
00:17:57,609 --> 00:17:59,470
but the rest of industry,

488
00:17:59,849 --> 00:18:02,109
especially the small to medium manufacturers,

489
00:18:02,730 --> 00:18:03,549
really struggle

490
00:18:04,410 --> 00:18:05,230
even today.

491
00:18:06,325 --> 00:18:08,085
And that's why I wanted to spend a

492
00:18:08,085 --> 00:18:10,424
little bit of time, you know, talking to,

493
00:18:10,485 --> 00:18:12,404
you know, the audience about, you know, kind

494
00:18:12,404 --> 00:18:13,545
of what I've seen.

495
00:18:14,884 --> 00:18:15,384
And

496
00:18:16,485 --> 00:18:18,105
when I talk to,

497
00:18:18,660 --> 00:18:21,940
you know, some entrepreneur or plant owner or

498
00:18:21,940 --> 00:18:23,960
manager, generally, it was a,

499
00:18:24,820 --> 00:18:27,960
successful engineer at a company that then decided

500
00:18:28,019 --> 00:18:30,100
to go off on their own because they

501
00:18:30,100 --> 00:18:32,325
saw an opportunity. Right? Sure. And it might

502
00:18:32,325 --> 00:18:34,884
be a shop with 12, you know, people.

503
00:18:34,884 --> 00:18:36,964
It may be bigger than that, but they're

504
00:18:36,964 --> 00:18:38,265
not gonna be very large.

505
00:18:39,204 --> 00:18:39,704
And

506
00:18:40,964 --> 00:18:43,865
it always comes down to three fundamental questions

507
00:18:44,005 --> 00:18:46,740
that they ask when they go to make

508
00:18:46,740 --> 00:18:47,720
any investment

509
00:18:48,500 --> 00:18:51,700
in automation or capital equipment, not just robots,

510
00:18:51,700 --> 00:18:53,480
but NC machines,

511
00:18:53,940 --> 00:18:54,440
printers,

512
00:18:54,980 --> 00:18:57,380
you know, it's all the same thing. First

513
00:18:57,380 --> 00:18:59,000
question is, can I afford it?

514
00:18:59,380 --> 00:18:59,880
Right?

515
00:19:00,274 --> 00:19:02,274
Can I afford it? Is this thing out

516
00:19:02,274 --> 00:19:03,414
of reach for me?

517
00:19:04,515 --> 00:19:06,375
And I think you would agree

518
00:19:06,755 --> 00:19:09,474
that over the, you know, twenty, thirty years

519
00:19:09,474 --> 00:19:11,474
that we've been doing this, the price of

520
00:19:11,474 --> 00:19:14,454
this technology has continued to drop. Oh, yeah.

521
00:19:15,059 --> 00:19:17,220
And we definitely see that in the robot

522
00:19:17,220 --> 00:19:20,599
space with the introduction of cobots, collaborative robots.

523
00:19:20,659 --> 00:19:22,200
Yep. Right? They sort of

524
00:19:22,579 --> 00:19:24,359
lowered the floor threshold

525
00:19:24,899 --> 00:19:26,200
for bringing automation

526
00:19:26,659 --> 00:19:26,984
in.

527
00:19:27,944 --> 00:19:28,444
So

528
00:19:29,304 --> 00:19:30,204
more and more

529
00:19:30,585 --> 00:19:33,625
often, the first question is answered to their

530
00:19:33,625 --> 00:19:34,125
satisfaction.

531
00:19:34,744 --> 00:19:37,325
Can I afford it? Hey. Actually, I can.

532
00:19:37,625 --> 00:19:40,664
Mhmm. The second question they ask is, can

533
00:19:40,664 --> 00:19:41,884
I keep it running?

534
00:19:42,960 --> 00:19:43,460
Meaning,

535
00:19:43,759 --> 00:19:45,940
do I have the stat,

536
00:19:46,559 --> 00:19:47,380
the wherewithal

537
00:19:47,759 --> 00:19:48,579
to program

538
00:19:48,960 --> 00:19:49,859
and maintain

539
00:19:50,799 --> 00:19:53,539
this robot and operate it?

540
00:19:54,400 --> 00:19:56,980
And that's a workforce development question.

541
00:19:58,025 --> 00:19:58,525
Because

542
00:19:59,065 --> 00:20:01,724
if they do have the folks, then great.

543
00:20:01,784 --> 00:20:03,325
But often they don't.

544
00:20:03,944 --> 00:20:06,424
You know, when you bring a robot in

545
00:20:06,424 --> 00:20:09,865
to a typical small manufacturer, it is generally

546
00:20:09,865 --> 00:20:12,000
the very first robot they've ever had. Mhmm.

547
00:20:12,000 --> 00:20:13,220
Yep. Right?

548
00:20:14,160 --> 00:20:14,980
And so

549
00:20:15,279 --> 00:20:16,099
they need

550
00:20:16,400 --> 00:20:17,680
some amount of

551
00:20:19,359 --> 00:20:21,039
you know, they gotta they gotta think about

552
00:20:21,039 --> 00:20:21,779
the staff.

553
00:20:22,880 --> 00:20:24,400
And so what are you gonna do? You're

554
00:20:24,400 --> 00:20:26,240
either gonna go higher or you're going to

555
00:20:26,240 --> 00:20:28,154
up skill. Mhmm. Right?

556
00:20:30,215 --> 00:20:31,815
And that's why I say this is a

557
00:20:31,815 --> 00:20:34,234
workforce development question. Sure. Yeah.

558
00:20:35,654 --> 00:20:36,715
I am bullish

559
00:20:37,095 --> 00:20:38,154
that the answer

560
00:20:38,740 --> 00:20:40,759
to question two, can I keep it running,

561
00:20:40,819 --> 00:20:43,539
is also increasingly yes? And and I'll tell

562
00:20:43,539 --> 00:20:45,399
you why I I I'm confident.

563
00:20:45,940 --> 00:20:46,440
One,

564
00:20:47,140 --> 00:20:50,419
robotics has sort of become the defacto way

565
00:20:50,419 --> 00:20:53,000
that we teach engineering now at the secondary

566
00:20:53,299 --> 00:20:54,434
and college level.

567
00:20:54,995 --> 00:20:55,495
Right?

568
00:20:56,995 --> 00:20:58,775
There's plenty of,

569
00:21:00,674 --> 00:21:02,695
everything from vocational schools,

570
00:21:02,995 --> 00:21:04,215
continuing education,

571
00:21:05,394 --> 00:21:06,134
four year

572
00:21:07,009 --> 00:21:07,509
engineering

573
00:21:07,970 --> 00:21:09,269
programs for manufacturing

574
00:21:09,569 --> 00:21:10,069
technology.

575
00:21:10,769 --> 00:21:12,950
There are ways now to get

576
00:21:13,569 --> 00:21:14,069
young

577
00:21:14,369 --> 00:21:14,869
engineers

578
00:21:15,250 --> 00:21:17,569
that have seen robots before they got to

579
00:21:17,569 --> 00:21:19,429
your door. Mhmm. Right?

580
00:21:20,924 --> 00:21:22,764
I mean, I think all of us owe

581
00:21:22,764 --> 00:21:25,744
a great threat of gratitude to Dean Kamen

582
00:21:26,044 --> 00:21:27,904
and the whole first robotics

583
00:21:28,204 --> 00:21:28,704
thing

584
00:21:30,125 --> 00:21:31,664
because it has primed

585
00:21:32,044 --> 00:21:32,865
the pump

586
00:21:33,804 --> 00:21:34,304
for

587
00:21:34,764 --> 00:21:35,264
robotics

588
00:21:35,565 --> 00:21:36,065
help.

589
00:21:36,420 --> 00:21:36,920
Yeah.

590
00:21:37,940 --> 00:21:40,340
Right? For sure. So, you know, the question

591
00:21:40,340 --> 00:21:41,720
of can I keep it running,

592
00:21:42,340 --> 00:21:43,080
I think

593
00:21:43,539 --> 00:21:45,860
we're all gonna be okay? The other part

594
00:21:45,860 --> 00:21:48,180
of can I keep it running is, hey?

595
00:21:48,180 --> 00:21:49,640
Maybe I don't have

596
00:21:51,215 --> 00:21:53,934
robotics program within an hour and a half

597
00:21:53,934 --> 00:21:56,035
of me. I've got my people.

598
00:21:56,575 --> 00:21:58,674
Well, upscale is now

599
00:21:59,215 --> 00:22:01,955
a very viable option for your people

600
00:22:02,414 --> 00:22:02,914
because

601
00:22:03,599 --> 00:22:04,660
there is so much

602
00:22:05,039 --> 00:22:05,539
state,

603
00:22:06,000 --> 00:22:09,940
federal, and municipal support for retraining on high-tech,

604
00:22:11,039 --> 00:22:13,279
that you're probably not gonna have to pay

605
00:22:13,279 --> 00:22:13,940
for it.

606
00:22:14,559 --> 00:22:16,880
Somebody is gonna foot that bill for you.

607
00:22:16,880 --> 00:22:19,059
You're gonna have to invest their time

608
00:22:19,505 --> 00:22:20,884
to get them up the curve,

609
00:22:21,184 --> 00:22:23,904
but you can get that. Yeah. So can

610
00:22:23,904 --> 00:22:25,184
I can I keep it running? I think

611
00:22:25,184 --> 00:22:27,105
you can keep it running. If you or

612
00:22:27,105 --> 00:22:29,184
somebody you know needs hands on training with

613
00:22:29,184 --> 00:22:31,025
Rockwell or Siemens PLCs, I want you to

614
00:22:31,025 --> 00:22:32,549
consider the automation school.

615
00:22:32,950 --> 00:22:34,390
Not only are you gonna find that we're

616
00:22:34,390 --> 00:22:36,470
less expensive than sending your people to the

617
00:22:36,470 --> 00:22:38,789
factory, we're gonna be able to cover more

618
00:22:38,789 --> 00:22:39,930
content quicker,

619
00:22:40,390 --> 00:22:42,869
and we can even teach your students on

620
00:22:42,869 --> 00:22:46,365
both Rockwell and Siemens if you wanna do

621
00:22:46,365 --> 00:22:47,664
a multi day engagement.

622
00:22:48,125 --> 00:22:50,125
Now you'll find all the information about my

623
00:22:50,125 --> 00:22:52,605
hands on training over at theautomationschool.com

624
00:22:52,605 --> 00:22:53,904
forward /live.

625
00:22:54,445 --> 00:22:55,725
And if you have any questions, I wanna

626
00:22:55,725 --> 00:22:57,325
encourage you to reach out to me. But

627
00:22:57,325 --> 00:22:59,009
just keep in mind that what we can

628
00:22:59,009 --> 00:23:01,170
do here is typically more than you'll find

629
00:23:01,170 --> 00:23:03,570
other places because we have more equipment. You

630
00:23:03,570 --> 00:23:05,809
know, anybody could put APLCs in a room,

631
00:23:05,809 --> 00:23:07,890
put APCs in a room, and say, here

632
00:23:07,890 --> 00:23:09,650
you go. Here's a lab book. What we

633
00:23:09,650 --> 00:23:11,730
can do is share, well, my thirty five

634
00:23:11,730 --> 00:23:14,515
years experience using this stuff, but, also, I

635
00:23:14,515 --> 00:23:17,154
have dozens of products from third parties we

636
00:23:17,154 --> 00:23:19,394
can bring in and integrate in addition to

637
00:23:19,394 --> 00:23:21,234
all the vendors I have shown you on

638
00:23:21,234 --> 00:23:23,555
the YouTube channel and on the automation blog

639
00:23:23,555 --> 00:23:26,195
over the years. So, again, if you want

640
00:23:26,195 --> 00:23:28,214
to do hands on training affordably

641
00:23:28,720 --> 00:23:31,279
and you need quality instructor, please consider sending

642
00:23:31,279 --> 00:23:33,360
your students to me. And, for all the

643
00:23:33,360 --> 00:23:35,680
information and to get in contact with me,

644
00:23:35,680 --> 00:23:37,940
please visit the automationschool.com

645
00:23:38,160 --> 00:23:40,880
forward slash live. And with that, let's go

646
00:23:40,880 --> 00:23:42,595
back to this week's episode of the automation

647
00:23:42,595 --> 00:23:43,095
podcast.

648
00:23:44,194 --> 00:23:46,115
Yeah. And it's it's funny you mentioned Dean.

649
00:23:46,115 --> 00:23:48,274
I was I was invited in to do

650
00:23:48,274 --> 00:23:49,794
some training a few weeks ago for those

651
00:23:49,794 --> 00:23:50,294
guys,

652
00:23:50,595 --> 00:23:50,994
and,

653
00:23:52,115 --> 00:23:53,875
I don't usually take this equipment on the

654
00:23:53,875 --> 00:23:55,634
road. But some for some people, you you

655
00:23:55,714 --> 00:23:57,154
you'll make a you'll make a trip.

656
00:23:58,109 --> 00:23:59,549
You know what? You bring up a really

657
00:23:59,549 --> 00:24:01,630
good point. And as a, any any of

658
00:24:01,630 --> 00:24:03,230
the listeners out there, you know, you've heard

659
00:24:03,230 --> 00:24:05,150
me talk about how I was a first

660
00:24:05,150 --> 00:24:07,710
robotics coach for a few years, and it

661
00:24:07,710 --> 00:24:08,529
is definitely

662
00:24:09,630 --> 00:24:10,450
a great

663
00:24:10,884 --> 00:24:12,825
system. You know, at first, being a PLC

664
00:24:12,884 --> 00:24:14,664
HMI guy, I was kinda like,

665
00:24:15,204 --> 00:24:17,044
but, no, it is great that the way

666
00:24:17,044 --> 00:24:19,845
everything's touchpad driven. My grandkids and my oldest

667
00:24:19,845 --> 00:24:22,164
grandchild is 17. She doesn't know a time

668
00:24:22,164 --> 00:24:23,065
before touchscreens.

669
00:24:23,525 --> 00:24:25,125
Right? I remember when I got in this

670
00:24:25,125 --> 00:24:27,430
business in the nineties, nobody knew what a

671
00:24:27,430 --> 00:24:29,590
touchscreen was. Right? It was like Yeah. You

672
00:24:29,590 --> 00:24:30,950
know, when I talk to people, it'd be

673
00:24:30,950 --> 00:24:32,170
like, what's a touchscreen?

674
00:24:32,789 --> 00:24:34,470
I'm like, Die Hard. Didn't you ever see

675
00:24:34,470 --> 00:24:37,029
Die Hard? Anyways but, you know, the the

676
00:24:37,029 --> 00:24:38,549
thing is and and I'm glad you brought

677
00:24:38,549 --> 00:24:39,990
up a three. We've covered them quite a

678
00:24:39,990 --> 00:24:41,529
bit on the news over the years.

679
00:24:41,894 --> 00:24:43,734
And, I I you know, if you guys

680
00:24:43,734 --> 00:24:45,515
are in manufacturing, check them out.

681
00:24:45,974 --> 00:24:47,855
Really, anybody in automation should be checking them

682
00:24:47,855 --> 00:24:49,994
out Yeah. And and and like organizations.

683
00:24:50,295 --> 00:24:50,795
But,

684
00:24:51,734 --> 00:24:53,174
you know, that I think that's why so

685
00:24:53,174 --> 00:24:55,734
many integrators twenty to thirty years ago started

686
00:24:55,734 --> 00:24:56,555
putting on

687
00:24:57,059 --> 00:24:57,559
robotic

688
00:24:57,859 --> 00:24:58,359
arms

689
00:24:58,819 --> 00:25:01,480
because they knew they had these brilliant people

690
00:25:02,019 --> 00:25:04,500
who could automate your entire facility, and they

691
00:25:04,500 --> 00:25:07,220
saw that robots were more than just these

692
00:25:07,220 --> 00:25:09,299
things that picked up car bodies so you

693
00:25:09,299 --> 00:25:11,694
could weld them. They were actually being used

694
00:25:11,694 --> 00:25:12,914
more and more in everyday

695
00:25:13,375 --> 00:25:14,595
in everyday manufacturing

696
00:25:15,375 --> 00:25:18,095
and automation applications. And today, you'd be hard

697
00:25:18,095 --> 00:25:20,515
pressed not to find to find an integrator

698
00:25:20,894 --> 00:25:23,134
of any size that doesn't do some robotics.

699
00:25:23,134 --> 00:25:23,579
And

700
00:25:24,460 --> 00:25:26,559
and so those people in in the manufacturing,

701
00:25:26,779 --> 00:25:29,279
if you're already programming the PLCs and HMIs

702
00:25:29,740 --> 00:25:31,679
and doing the sensors and the calibration,

703
00:25:32,299 --> 00:25:33,919
you shouldn't be afraid of

704
00:25:34,220 --> 00:25:37,339
robotics because it's yes. It's another language. Right?

705
00:25:37,339 --> 00:25:40,045
It's like it's like going from PLC to

706
00:25:40,045 --> 00:25:42,285
HMI or from Yeah. Look. You know, bar

707
00:25:42,285 --> 00:25:43,424
codes to vision.

708
00:25:44,045 --> 00:25:46,365
Yeah. But it's in your It's eleven thirty

709
00:25:46,365 --> 00:25:49,005
one complete. It's it's You can program a

710
00:25:49,005 --> 00:25:50,705
robot. Yep. Alright.

711
00:25:51,724 --> 00:25:52,125
But,

712
00:25:53,164 --> 00:25:54,945
you know, I said there were three elements,

713
00:25:55,130 --> 00:25:57,470
and we've talked about the first two. Right?

714
00:25:58,009 --> 00:25:59,769
Can I afford it? Yes. Can I keep

715
00:25:59,769 --> 00:26:00,509
it running?

716
00:26:00,890 --> 00:26:03,549
Yes. The third one is the tricky one.

717
00:26:03,850 --> 00:26:05,230
Can I keep it busy?

718
00:26:06,009 --> 00:26:08,009
Right? Yeah. Can I keep it busy? There's

719
00:26:08,009 --> 00:26:09,950
a difference between can I keep it running,

720
00:26:10,195 --> 00:26:12,595
which is, you know, is it broken or

721
00:26:12,595 --> 00:26:13,095
not,

722
00:26:13,634 --> 00:26:15,255
and can I keep it busy?

723
00:26:16,035 --> 00:26:17,335
Busy is about

724
00:26:19,075 --> 00:26:20,455
the difference between

725
00:26:20,914 --> 00:26:22,215
high volume manufacturing

726
00:26:22,914 --> 00:26:24,455
and low volume manufacturing.

727
00:26:26,009 --> 00:26:26,509
In,

728
00:26:27,289 --> 00:26:27,789
robots

729
00:26:28,289 --> 00:26:29,390
it it undeniable.

730
00:26:30,329 --> 00:26:32,190
Robots are most successful

731
00:26:32,650 --> 00:26:34,349
when it is high mix

732
00:26:35,130 --> 00:26:37,549
or high volume, low mix manufacturing.

733
00:26:38,329 --> 00:26:39,869
Right? There are only

734
00:26:40,410 --> 00:26:41,295
five or six,

735
00:26:41,775 --> 00:26:43,855
you know, sort of variants of the car

736
00:26:43,855 --> 00:26:46,335
body going down the line. You know how

737
00:26:46,335 --> 00:26:48,275
to spot weld all six of them.

738
00:26:48,575 --> 00:26:50,975
You're gonna be busy all day. Yep. But

739
00:26:50,975 --> 00:26:53,394
when you get down to small to medium

740
00:26:53,535 --> 00:26:54,035
manufacturers,

741
00:26:54,759 --> 00:26:57,079
you know, a thousand might be a big

742
00:26:57,079 --> 00:26:57,819
lot size.

743
00:26:58,919 --> 00:26:59,980
Yeah. Right?

744
00:27:01,480 --> 00:27:02,700
You have

745
00:27:03,079 --> 00:27:05,579
lower volumes but higher mix.

746
00:27:06,279 --> 00:27:08,859
And there's a spectrum here, obviously.

747
00:27:09,615 --> 00:27:10,835
But the

748
00:27:11,295 --> 00:27:14,974
the further you are on the mix is

749
00:27:14,974 --> 00:27:16,755
high, but volume is low,

750
00:27:17,214 --> 00:27:18,515
part of that curve

751
00:27:19,134 --> 00:27:19,954
is where

752
00:27:20,414 --> 00:27:21,075
the robots

753
00:27:21,775 --> 00:27:22,095
now

754
00:27:22,779 --> 00:27:24,480
either the robot has to

755
00:27:24,779 --> 00:27:25,920
program itself,

756
00:27:27,500 --> 00:27:28,000
right,

757
00:27:28,700 --> 00:27:31,359
or it just doesn't require any programming.

758
00:27:32,220 --> 00:27:32,720
Because

759
00:27:33,900 --> 00:27:35,119
where the manufacturer

760
00:27:35,500 --> 00:27:37,615
stub their toe today is, hey.

761
00:27:37,994 --> 00:27:39,674
By the time I picked up the teach

762
00:27:39,674 --> 00:27:40,174
pendant

763
00:27:40,715 --> 00:27:41,775
and I programmed

764
00:27:42,154 --> 00:27:44,414
the robot for that next part,

765
00:27:45,195 --> 00:27:47,674
I coulda welded them by hand and been

766
00:27:47,674 --> 00:27:48,654
done with it.

767
00:27:49,115 --> 00:27:49,615
Yep.

768
00:27:50,075 --> 00:27:52,529
That's really the main issue left.

769
00:27:52,930 --> 00:27:54,070
Mhmm. So

770
00:27:54,450 --> 00:27:54,950
if

771
00:27:55,490 --> 00:27:56,230
you can

772
00:27:56,609 --> 00:27:57,910
automate that process,

773
00:27:58,450 --> 00:28:01,029
and now we're talking about sim to real.

774
00:28:01,250 --> 00:28:03,570
Mhmm. Right? Digital twin. Yep.

775
00:28:04,369 --> 00:28:04,869
Or

776
00:28:05,170 --> 00:28:06,724
it's sensor driven,

777
00:28:07,105 --> 00:28:08,944
and it just sees the part and knows

778
00:28:08,944 --> 00:28:11,424
what to do with it based on some

779
00:28:11,424 --> 00:28:11,924
constraints.

780
00:28:12,785 --> 00:28:13,285
So,

781
00:28:14,865 --> 00:28:15,845
question three

782
00:28:16,464 --> 00:28:18,085
is a work in process.

783
00:28:19,519 --> 00:28:22,319
It is a work in progress, I'll say,

784
00:28:22,319 --> 00:28:22,819
because

785
00:28:23,279 --> 00:28:23,779
definitely

786
00:28:24,720 --> 00:28:27,839
the ease of programming robots has got to

787
00:28:27,839 --> 00:28:29,539
the place now where

788
00:28:30,160 --> 00:28:30,660
more

789
00:28:31,234 --> 00:28:33,095
higher mix, lower volume

790
00:28:33,875 --> 00:28:34,375
manufacturers

791
00:28:35,075 --> 00:28:37,555
can make that leap, but not all of

792
00:28:37,555 --> 00:28:38,295
them today.

793
00:28:38,835 --> 00:28:40,674
Not all of them. The closer you are

794
00:28:40,674 --> 00:28:42,055
to a one off fabricator,

795
00:28:42,835 --> 00:28:44,640
the less the robot makes sense.

796
00:28:45,759 --> 00:28:46,660
That's true.

797
00:28:47,920 --> 00:28:48,420
So,

798
00:28:50,320 --> 00:28:50,820
but

799
00:28:52,400 --> 00:28:54,500
I see so much activity

800
00:28:54,799 --> 00:28:55,539
these days

801
00:28:56,000 --> 00:28:56,500
with

802
00:28:56,960 --> 00:28:57,460
AI

803
00:28:58,000 --> 00:28:58,500
and

804
00:28:59,654 --> 00:29:00,875
automated learning

805
00:29:01,575 --> 00:29:03,575
that I think we're going to get more

806
00:29:03,575 --> 00:29:04,634
and more coverage

807
00:29:05,255 --> 00:29:06,315
of that spectrum

808
00:29:06,694 --> 00:29:09,095
so that robots can, you know, be an

809
00:29:09,095 --> 00:29:11,755
effective tool for these smaller manufacturers.

810
00:29:13,369 --> 00:29:15,210
Yeah. Yeah. I I agree with you. And

811
00:29:15,210 --> 00:29:16,750
and, you know, repeatability

812
00:29:17,289 --> 00:29:18,990
in some in some areas,

813
00:29:19,769 --> 00:29:23,130
doing something identically every time is very important.

814
00:29:23,130 --> 00:29:25,304
But in other areas, like taking a box

815
00:29:25,304 --> 00:29:26,424
out of a pile and putting it on

816
00:29:26,424 --> 00:29:28,345
a conveyor, you don't have to be within

817
00:29:28,345 --> 00:29:30,265
microns where you put it. No. It just

818
00:29:30,265 --> 00:29:32,505
has to be on the conveyor. So every

819
00:29:32,505 --> 00:29:34,744
application, you know, has its own challenges. In

820
00:29:34,744 --> 00:29:35,404
some places,

821
00:29:36,105 --> 00:29:37,704
the last thing you wanna do is build

822
00:29:37,704 --> 00:29:39,304
a lot of things for stock. Maybe you're

823
00:29:39,304 --> 00:29:41,579
doing a finishing product on on a product,

824
00:29:41,960 --> 00:29:43,419
and it needs to be

825
00:29:43,720 --> 00:29:45,880
exact in you know, there's a lot of

826
00:29:45,880 --> 00:29:47,799
money in this product up into this point,

827
00:29:47,799 --> 00:29:50,220
and this finishing process has to be perfect.

828
00:29:50,679 --> 00:29:53,419
And so it's not about volume. It's about

829
00:29:53,825 --> 00:29:55,984
making sure that last step because if you're

830
00:29:56,065 --> 00:29:58,305
like, we like, I worked with a company

831
00:29:58,305 --> 00:30:00,464
that did lenses. And at the last the

832
00:30:00,464 --> 00:30:02,785
last part of the lens process was the

833
00:30:02,785 --> 00:30:04,785
coating, and you don't wanna mess up there

834
00:30:04,785 --> 00:30:06,944
because a lot of time grinding those specialty

835
00:30:06,944 --> 00:30:09,160
lenses was done for the military and for

836
00:30:09,160 --> 00:30:11,400
different applications was done up front. Yeah. And

837
00:30:11,400 --> 00:30:13,000
you do it all away. Yeah. This little

838
00:30:13,000 --> 00:30:15,000
coating, you gotta get that part right because

839
00:30:15,000 --> 00:30:16,220
if that's not right,

840
00:30:16,600 --> 00:30:18,600
that and the coating's not worth that much

841
00:30:18,600 --> 00:30:20,519
compared to the lens at that point. So,

842
00:30:20,519 --> 00:30:22,039
yeah, a lot of different ways to approach

843
00:30:22,039 --> 00:30:23,945
it and think about it. What other thoughts

844
00:30:23,945 --> 00:30:26,345
do you have about, you know, closing a

845
00:30:26,345 --> 00:30:27,785
gap? I know in our in the preshow,

846
00:30:27,785 --> 00:30:29,404
we talked a lot about American

847
00:30:30,265 --> 00:30:30,765
competitiveness,

848
00:30:31,625 --> 00:30:32,125
and,

849
00:30:32,505 --> 00:30:34,664
I think this kinda dovetails right into that.

850
00:30:34,664 --> 00:30:36,365
Can you share your thoughts on that?

851
00:30:37,319 --> 00:30:38,539
Yeah. Look. I'm,

852
00:30:40,519 --> 00:30:41,419
I'm a believer

853
00:30:41,720 --> 00:30:42,220
that,

854
00:30:42,759 --> 00:30:44,919
you know, when you shine a very harsh

855
00:30:44,919 --> 00:30:46,859
light, you're gonna see the shadows.

856
00:30:48,200 --> 00:30:48,700
And,

857
00:30:49,399 --> 00:30:52,154
harsh lights cast severe shadows, and I think

858
00:30:52,154 --> 00:30:53,775
that's what happened during COVID.

859
00:30:54,634 --> 00:30:55,454
We shone

860
00:30:55,914 --> 00:30:58,494
such a bright light on our own ability

861
00:30:58,954 --> 00:30:59,454
to,

862
00:30:59,914 --> 00:31:01,855
you know, take care of ourselves

863
00:31:02,394 --> 00:31:04,714
Yep. That we said, you know what? Something's

864
00:31:04,714 --> 00:31:05,730
gotta change here.

865
00:31:06,609 --> 00:31:08,549
And so I am a big proponent

866
00:31:08,929 --> 00:31:09,829
of reshoring

867
00:31:10,369 --> 00:31:11,970
some of the things that we should just

868
00:31:11,970 --> 00:31:13,809
be able to know we always have at

869
00:31:13,809 --> 00:31:16,869
our disposal Mhmm. Or can spool up manufacturing

870
00:31:17,329 --> 00:31:18,309
of very quickly.

871
00:31:18,769 --> 00:31:20,849
We should have always been able to just

872
00:31:20,849 --> 00:31:23,075
turn on this turn up the

873
00:31:23,454 --> 00:31:24,355
mask knob,

874
00:31:24,815 --> 00:31:27,795
turn up the ventilator knob, and we couldn't.

875
00:31:28,015 --> 00:31:30,095
Yep. We couldn't because we just it did

876
00:31:30,174 --> 00:31:31,394
it wasn't here anymore.

877
00:31:31,855 --> 00:31:35,234
So as we think about bringing back in

878
00:31:35,694 --> 00:31:37,075
to North America,

879
00:31:37,919 --> 00:31:39,059
more of the manufacturing

880
00:31:39,359 --> 00:31:40,980
of those critical goods,

881
00:31:41,679 --> 00:31:42,980
then, you know,

882
00:31:44,319 --> 00:31:46,179
automation's gonna have a role to play.

883
00:31:46,559 --> 00:31:47,059
And,

884
00:31:48,319 --> 00:31:51,059
we're here for it. Right? We wanna see

885
00:31:51,884 --> 00:31:53,644
we never wanna kind find ourselves in a

886
00:31:53,644 --> 00:31:56,045
situation where we can't make for the ourselves

887
00:31:56,045 --> 00:31:58,045
the things that we need. Yeah. So let's

888
00:31:58,045 --> 00:32:00,924
do that first. Whatever you whatever you think

889
00:32:00,924 --> 00:32:02,384
about on tariffs

890
00:32:03,005 --> 00:32:03,505
and,

891
00:32:03,805 --> 00:32:06,150
you know, near shoring or any of that,

892
00:32:06,230 --> 00:32:07,830
Set that all to the side. We can

893
00:32:07,830 --> 00:32:08,650
all agree

894
00:32:08,950 --> 00:32:10,710
there were things we wish we had made

895
00:32:10,710 --> 00:32:12,089
and we didn't. Yeah.

896
00:32:12,710 --> 00:32:14,630
But let's focus on that. And that's what

897
00:32:14,630 --> 00:32:16,089
I mean when I say,

898
00:32:17,190 --> 00:32:18,330
American competitiveness.

899
00:32:19,109 --> 00:32:19,875
First, it's

900
00:32:20,755 --> 00:32:21,255
American

901
00:32:21,555 --> 00:32:22,055
resilience.

902
00:32:23,394 --> 00:32:25,714
Let's let's make sure we take care of

903
00:32:25,714 --> 00:32:26,694
our own house

904
00:32:27,075 --> 00:32:29,075
and anything that we might need, we have

905
00:32:29,075 --> 00:32:30,454
ready access to.

906
00:32:31,555 --> 00:32:35,095
And we're gonna start exercising some muscles, Sean,

907
00:32:35,440 --> 00:32:38,960
that have been flaccid for so long that,

908
00:32:38,960 --> 00:32:40,980
you know, they've just atrophied,

909
00:32:42,160 --> 00:32:44,320
and we need that back. You know, we

910
00:32:44,320 --> 00:32:45,779
see that happening today

911
00:32:46,160 --> 00:32:47,295
with chip fabs.

912
00:32:47,695 --> 00:32:50,894
Yeah. We're investing very, very heavily in chip

913
00:32:50,894 --> 00:32:53,295
fabs, which means a lot of the other

914
00:32:53,295 --> 00:32:54,515
sort of supporting

915
00:32:54,975 --> 00:32:55,475
processes

916
00:32:55,855 --> 00:32:57,075
we're having to relearn.

917
00:32:58,095 --> 00:32:58,595
Right?

918
00:32:59,134 --> 00:33:01,215
It's going to be the same thing as

919
00:33:01,215 --> 00:33:02,035
we start,

920
00:33:02,900 --> 00:33:04,819
bringing back more and more of these, you

921
00:33:04,819 --> 00:33:06,900
know, manufacturing of these goods here in The

922
00:33:06,900 --> 00:33:08,839
States. We're gonna have to remember,

923
00:33:09,299 --> 00:33:10,519
you know, materials

924
00:33:11,299 --> 00:33:14,200
and process flow and tool making

925
00:33:15,414 --> 00:33:17,494
and all of the other things associated with

926
00:33:17,494 --> 00:33:18,875
it, and that

927
00:33:20,055 --> 00:33:23,115
lends itself to continuing to grow the footprint.

928
00:33:23,815 --> 00:33:24,315
So,

929
00:33:25,015 --> 00:33:26,549
I'm not one that says,

930
00:33:27,430 --> 00:33:28,970
we need to start building everything,

931
00:33:29,350 --> 00:33:31,690
you know, in America. We should be completely

932
00:33:31,750 --> 00:33:33,850
self sufficient. You know? I'm not an isolationist.

933
00:33:34,230 --> 00:33:35,369
What I am is

934
00:33:35,670 --> 00:33:38,090
sometimes bad things happen. You better be ready.

935
00:33:38,230 --> 00:33:40,650
Let's do that first. And as a result,

936
00:33:41,085 --> 00:33:42,544
you will automatically

937
00:33:43,005 --> 00:33:43,825
and naturally,

938
00:33:44,204 --> 00:33:44,704
organically

939
00:33:45,244 --> 00:33:48,144
continue to grow your ability for manufacturing,

940
00:33:48,924 --> 00:33:51,244
period. And that's a good thing. Yeah. And

941
00:33:51,244 --> 00:33:52,845
I I wanna you know what? The majority

942
00:33:52,845 --> 00:33:54,869
of our audience is in America. Right? But

943
00:33:54,869 --> 00:33:56,150
we do have a number of people in

944
00:33:56,150 --> 00:33:57,130
Canada, UK,

945
00:33:57,590 --> 00:34:00,390
even Mexico and India. And and so the

946
00:34:00,390 --> 00:34:02,710
way I've always said this was and and

947
00:34:02,710 --> 00:34:04,710
my friend, Jad Garner, talks about this a

948
00:34:04,710 --> 00:34:05,210
lot.

949
00:34:05,590 --> 00:34:06,090
Manufacture

950
00:34:06,549 --> 00:34:07,049
local.

951
00:34:07,515 --> 00:34:10,795
So we want the manufacturing in this country

952
00:34:10,795 --> 00:34:12,315
to be great, to be able to provide

953
00:34:12,315 --> 00:34:13,695
all our needs. Mhmm.

954
00:34:14,074 --> 00:34:15,215
I also want

955
00:34:15,515 --> 00:34:17,275
the manufacturing in The UK to be able

956
00:34:17,275 --> 00:34:18,635
to make everything they need. I want the

957
00:34:18,635 --> 00:34:20,699
manufacturing in India to make everything they need.

958
00:34:20,940 --> 00:34:23,579
Canada, Mexico. Yeah. I want you every every

959
00:34:23,579 --> 00:34:27,339
lodge. Sometimes you it's impractical that especially the

960
00:34:27,339 --> 00:34:28,859
smaller country, they're not gonna be able to

961
00:34:28,859 --> 00:34:30,859
make everything, but they can make most of

962
00:34:30,859 --> 00:34:32,320
their own stuff. And so

963
00:34:33,099 --> 00:34:35,985
this this trying to shift all your manufacturing

964
00:34:36,204 --> 00:34:38,144
to one place to make your

965
00:34:38,525 --> 00:34:40,304
corporate profits go through the roof,

966
00:34:40,605 --> 00:34:42,605
we understand why people did that. But on

967
00:34:42,605 --> 00:34:44,605
the same token, we've all heard the stories

968
00:34:44,605 --> 00:34:47,005
of these third world countries that had thriving

969
00:34:47,005 --> 00:34:49,184
industries, like one is is soda pop.

970
00:34:50,099 --> 00:34:52,660
Some third world countries had a a a

971
00:34:52,660 --> 00:34:55,140
vibrant drink industries. They canned their own drinks.

972
00:34:55,140 --> 00:34:56,820
They made their own drinks. It was all

973
00:34:56,820 --> 00:34:59,079
local flavors, nothing you and I would recognize.

974
00:34:59,460 --> 00:35:01,619
But then some corporate guy gets in and

975
00:35:01,619 --> 00:35:04,019
slides somebody some greenbacks, and before you know

976
00:35:04,019 --> 00:35:06,315
it, they're dumping in, you know, brand x

977
00:35:06,315 --> 00:35:08,015
or brand y. It devastates

978
00:35:08,635 --> 00:35:10,635
the local industry, and all those people become

979
00:35:10,635 --> 00:35:13,355
unemployed, and those local brands are going forever.

980
00:35:13,355 --> 00:35:14,795
And those are the type of things, whether

981
00:35:14,795 --> 00:35:17,114
it's happening to us or happening to another

982
00:35:17,114 --> 00:35:18,795
country, those are the things we need to

983
00:35:18,795 --> 00:35:21,250
avoid. Let's all be stronger by manufacturing

984
00:35:21,630 --> 00:35:23,550
Yeah. The products near where the people who

985
00:35:23,550 --> 00:35:25,869
are using them are. Right? So so your

986
00:35:25,869 --> 00:35:28,109
your your cars are made in your country,

987
00:35:28,109 --> 00:35:29,949
and and we've seen a lot of car

988
00:35:29,949 --> 00:35:32,109
dealers car manufacturers do that where they have

989
00:35:32,109 --> 00:35:32,609
manufacturing

990
00:35:32,974 --> 00:35:35,534
in Europe, in The US, and Asia, and

991
00:35:35,534 --> 00:35:36,914
and other places. So,

992
00:35:37,695 --> 00:35:38,675
yeah, we we

993
00:35:38,974 --> 00:35:40,675
you know, at some point,

994
00:35:41,054 --> 00:35:43,454
you know, saving 10¢ on a mask is

995
00:35:43,454 --> 00:35:45,295
not worth having it having to wait for

996
00:35:45,295 --> 00:35:47,010
it to come on a boat. Right? It's

997
00:35:47,010 --> 00:35:48,449
just not to be there. Not to me,

998
00:35:48,449 --> 00:35:50,610
the consumer. So I'm with you there, and,

999
00:35:50,929 --> 00:35:53,329
you know, totally agree totally agree on that.

1000
00:35:53,329 --> 00:35:54,769
And, you know, I want so for you

1001
00:35:54,769 --> 00:35:55,590
guys listening,

1002
00:35:56,530 --> 00:35:58,210
let us know what you think. Oh, did

1003
00:35:58,210 --> 00:36:00,610
you feel the same, or do you think

1004
00:36:00,610 --> 00:36:03,125
totally different? That's the fun of the comment

1005
00:36:03,125 --> 00:36:05,045
section. So whether you're on the blog or

1006
00:36:05,045 --> 00:36:07,525
on YouTube or on iTunes or Spotify or

1007
00:36:07,525 --> 00:36:08,505
wherever we are,

1008
00:36:08,804 --> 00:36:10,885
please put your comments. I know most of

1009
00:36:10,885 --> 00:36:12,484
you are driving right now, so you can't

1010
00:36:12,484 --> 00:36:14,730
really comment. Right. Don't do that. Yeah. Feel

1011
00:36:14,730 --> 00:36:16,889
free to contact me and email me or

1012
00:36:16,889 --> 00:36:18,489
or comment. I love to hear your comments.

1013
00:36:18,489 --> 00:36:20,969
I always do. And, but with that, though,

1014
00:36:20,969 --> 00:36:22,329
I do wanna turn it back with to

1015
00:36:22,329 --> 00:36:24,809
you because, Eric, to see I'm looking just

1016
00:36:24,809 --> 00:36:26,170
looking at the list of things we're gonna

1017
00:36:26,170 --> 00:36:28,170
talk about. I wanna see what's anything else

1018
00:36:28,170 --> 00:36:30,734
we want to cover during this episode?

1019
00:36:31,835 --> 00:36:33,695
Well, before we get off of that subject,

1020
00:36:33,755 --> 00:36:35,135
I did want to,

1021
00:36:35,434 --> 00:36:36,734
you know, talk about

1022
00:36:37,594 --> 00:36:38,094
robotics

1023
00:36:38,554 --> 00:36:40,894
is effectively the end of labor arbitrage.

1024
00:36:41,594 --> 00:36:42,094
Right?

1025
00:36:42,659 --> 00:36:43,880
You you mentioned,

1026
00:36:44,420 --> 00:36:46,679
hey. People are moving from

1027
00:36:46,980 --> 00:36:48,440
this developing nation

1028
00:36:48,739 --> 00:36:50,440
to another developing nation,

1029
00:36:50,900 --> 00:36:52,760
right, because they're either

1030
00:36:53,299 --> 00:36:53,799
incentivized

1031
00:36:54,179 --> 00:36:55,534
on tax Mhmm.

1032
00:36:56,074 --> 00:36:58,474
Or labor. Mhmm. Right? All you need to

1033
00:36:58,474 --> 00:37:01,114
know about, you know, sort of the growth

1034
00:37:01,114 --> 00:37:01,614
of,

1035
00:37:02,234 --> 00:37:03,855
the Chinese middle class

1036
00:37:04,155 --> 00:37:05,594
is how much,

1037
00:37:05,914 --> 00:37:08,255
manufacturing moved from China to Vietnam.

1038
00:37:08,960 --> 00:37:10,019
Right? Yeah.

1039
00:37:10,400 --> 00:37:11,779
It's it's indicative

1040
00:37:12,159 --> 00:37:14,480
that China is continuing to grow. There's less

1041
00:37:14,480 --> 00:37:16,960
labor arbitrage in the coastal cities of China,

1042
00:37:16,960 --> 00:37:18,900
so it all goes to Southeast Asia.

1043
00:37:20,894 --> 00:37:22,594
But labor arbitrage

1044
00:37:23,295 --> 00:37:23,795
ends

1045
00:37:24,574 --> 00:37:25,394
where automation

1046
00:37:25,695 --> 00:37:26,195
begins.

1047
00:37:27,375 --> 00:37:27,875
Right?

1048
00:37:28,255 --> 00:37:31,235
Once it's robots here and robots there,

1049
00:37:31,614 --> 00:37:33,155
then the economic

1050
00:37:34,175 --> 00:37:34,675
incentive

1051
00:37:35,469 --> 00:37:37,630
to build it over there because it's just

1052
00:37:37,630 --> 00:37:39,090
a lower cost basis

1053
00:37:39,869 --> 00:37:40,690
is done.

1054
00:37:40,989 --> 00:37:42,289
And then the manufacturers

1055
00:37:42,910 --> 00:37:44,210
can be more responsive

1056
00:37:45,230 --> 00:37:46,849
to the local market.

1057
00:37:47,150 --> 00:37:47,650
Yeah.

1058
00:37:48,030 --> 00:37:49,414
If all manufacturing

1059
00:37:49,875 --> 00:37:51,715
cost me the same, well then, you know

1060
00:37:51,715 --> 00:37:53,255
what? I'm going to build

1061
00:37:53,635 --> 00:37:58,055
in, you know, Midwest US for Midwest consumption,

1062
00:37:58,114 --> 00:38:00,375
which might be different than West Coast consumption.

1063
00:38:00,609 --> 00:38:04,369
Yep. Right? Even though, you know, previously, those

1064
00:38:04,369 --> 00:38:06,230
would have been two different cost bases.

1065
00:38:06,530 --> 00:38:07,349
Mhmm. Now

1066
00:38:08,369 --> 00:38:11,570
automation has leveled the playing field. Do not

1067
00:38:11,570 --> 00:38:14,369
underestimate the value of leveling the playing field

1068
00:38:14,369 --> 00:38:14,869
here,

1069
00:38:15,724 --> 00:38:18,045
and, you know, I'd love to hear your

1070
00:38:18,045 --> 00:38:19,425
users comments on that.

1071
00:38:19,804 --> 00:38:21,804
Right? Yeah. And, you know, I've worked with

1072
00:38:21,804 --> 00:38:24,144
a lot of companies who manufacture locally,

1073
00:38:25,005 --> 00:38:27,405
and what the reason that they they're not

1074
00:38:27,485 --> 00:38:29,909
they don't compete with those high volume, like,

1075
00:38:30,309 --> 00:38:31,989
mass produced, you know, a million of the

1076
00:38:31,989 --> 00:38:34,329
same part because they do custom parts.

1077
00:38:34,710 --> 00:38:36,869
So it could be custom drapes or custom

1078
00:38:36,869 --> 00:38:38,710
mini blinds or custom things for your home

1079
00:38:38,710 --> 00:38:39,609
or your car.

1080
00:38:40,069 --> 00:38:42,069
But because they're local, they can turn it

1081
00:38:42,069 --> 00:38:43,429
around in a day or two and have

1082
00:38:43,429 --> 00:38:45,684
it to you. Whereas if you want the

1083
00:38:45,684 --> 00:38:47,525
farther go you the farther way you go

1084
00:38:47,525 --> 00:38:49,045
for that custom pot, the longer it's gonna

1085
00:38:49,045 --> 00:38:50,964
take to get to you. And especially the

1086
00:38:50,964 --> 00:38:53,445
heavier it is as well. Right? So or

1087
00:38:53,445 --> 00:38:56,099
if it's empty, like like cans. Right? So

1088
00:38:56,340 --> 00:38:58,579
people don't know this. Right? Mattresses and cans,

1089
00:38:58,579 --> 00:39:00,099
and most of them are made in your

1090
00:39:00,099 --> 00:39:00,599
city

1091
00:39:00,980 --> 00:39:03,380
because they're full of air, and it's not

1092
00:39:03,380 --> 00:39:05,380
very affordable to ship it very far. So

1093
00:39:05,380 --> 00:39:06,599
that's why you have a mattress,

1094
00:39:07,220 --> 00:39:10,445
manufacturer in in near every metropolitan area as

1095
00:39:10,445 --> 00:39:11,085
well as,

1096
00:39:11,405 --> 00:39:13,724
cans. Canning. If you know anything about canning

1097
00:39:13,724 --> 00:39:15,164
and, you know, the cans you drink your

1098
00:39:15,164 --> 00:39:17,485
soft drinks in. Right? Those are most of

1099
00:39:17,485 --> 00:39:19,164
those are made very close, and they read

1100
00:39:19,244 --> 00:39:21,405
they don't like shipping them even when they're

1101
00:39:21,405 --> 00:39:23,885
shut falls because it's a it's a truck

1102
00:39:23,885 --> 00:39:26,460
full of air. Right? It's not Right. Before

1103
00:39:26,460 --> 00:39:28,059
it's made into a can, it's very efficient

1104
00:39:28,059 --> 00:39:29,039
to ship that aluminum.

1105
00:39:29,340 --> 00:39:31,340
After it's made into a can, not so

1106
00:39:31,340 --> 00:39:33,500
much anymore. So Yeah. There's a lot of

1107
00:39:33,500 --> 00:39:35,840
carbon per ounce of aluminum.

1108
00:39:36,300 --> 00:39:36,800
Yeah.

1109
00:39:37,099 --> 00:39:39,355
Yeah. Exactly. It's a lot of it's a

1110
00:39:39,355 --> 00:39:41,195
lot of, expense on a truck. You know,

1111
00:39:41,195 --> 00:39:43,355
these trucks Yeah. And trains, the the the

1112
00:39:43,355 --> 00:39:45,195
heavier they are, the more the more efficient

1113
00:39:45,195 --> 00:39:47,355
they are. Right? And, but, no, when you

1114
00:39:47,355 --> 00:39:48,875
get those things full of the air, that's

1115
00:39:48,875 --> 00:39:51,295
not so so much the the the truth.

1116
00:39:52,059 --> 00:39:53,579
You know, that's a very good point. How

1117
00:39:53,579 --> 00:39:55,679
about on any other topics did you wanna,

1118
00:39:56,619 --> 00:39:58,859
talk about? Well, you know, you talk about

1119
00:39:58,859 --> 00:40:00,000
shipping air.

1120
00:40:00,460 --> 00:40:02,699
That's something that, obviously, in our market, people

1121
00:40:02,699 --> 00:40:04,394
spend a lot of time thinking about. Oh,

1122
00:40:04,394 --> 00:40:07,275
yeah. Right? Yeah. In the warehouse automation space,

1123
00:40:07,275 --> 00:40:09,695
if you're a distribution center or you're a,

1124
00:40:09,835 --> 00:40:12,815
you know, ecommerce brand and you're having to

1125
00:40:12,875 --> 00:40:14,655
do final mile or whatever,

1126
00:40:15,515 --> 00:40:16,815
it's all about,

1127
00:40:17,914 --> 00:40:18,735
fill ratio.

1128
00:40:19,420 --> 00:40:22,940
Right? How full can I make this, whatever

1129
00:40:22,940 --> 00:40:24,640
it is Yep? This tote,

1130
00:40:25,099 --> 00:40:26,880
this, you know, container,

1131
00:40:27,340 --> 00:40:28,320
this truck,

1132
00:40:28,619 --> 00:40:30,159
this cargo ship.

1133
00:40:30,539 --> 00:40:33,340
It's all the same thing. How full can

1134
00:40:33,340 --> 00:40:36,644
I get it? Because any time that we're

1135
00:40:36,644 --> 00:40:39,545
shipping air is wasted expense. Yeah. Yeah.

1136
00:40:39,844 --> 00:40:43,144
And that represents a different set of challenges

1137
00:40:43,364 --> 00:40:45,144
to folks in the automation space

1138
00:40:45,684 --> 00:40:48,164
because, you know, the applications that we talked

1139
00:40:48,164 --> 00:40:48,599
about,

1140
00:40:49,079 --> 00:40:49,579
depalletizing,

1141
00:40:50,920 --> 00:40:51,420
singulation,

1142
00:40:52,440 --> 00:40:53,980
you know, even truck unload,

1143
00:40:54,440 --> 00:40:57,420
we're gonna classify those, Sean, as subtractive

1144
00:40:57,800 --> 00:40:58,300
applications.

1145
00:40:58,920 --> 00:41:01,239
Mhmm. I start with bulk and I take

1146
00:41:01,239 --> 00:41:02,059
them down.

1147
00:41:02,680 --> 00:41:03,420
Yeah. Right?

1148
00:41:04,155 --> 00:41:07,114
When you are dealing with the outbound side

1149
00:41:07,114 --> 00:41:08,815
where fill ratio matters,

1150
00:41:09,275 --> 00:41:10,335
those are now

1151
00:41:10,875 --> 00:41:11,375
additive

1152
00:41:11,675 --> 00:41:13,934
applications. Mhmm. I'm building

1153
00:41:14,315 --> 00:41:16,074
a pallet and want it to be as

1154
00:41:16,074 --> 00:41:17,135
full as possible.

1155
00:41:17,500 --> 00:41:18,880
I am loading

1156
00:41:19,260 --> 00:41:21,340
a shipping container, and I need it to

1157
00:41:21,340 --> 00:41:23,340
have a little air as possible. I need

1158
00:41:23,340 --> 00:41:24,320
it to be full.

1159
00:41:24,860 --> 00:41:27,119
So in these additive problems,

1160
00:41:27,500 --> 00:41:29,360
you now have the complexity

1161
00:41:29,925 --> 00:41:30,425
of

1162
00:41:30,724 --> 00:41:31,704
you're now playing,

1163
00:41:32,005 --> 00:41:35,304
you know, Tetris in three d Yeah. With

1164
00:41:35,364 --> 00:41:36,585
variable inputs.

1165
00:41:36,965 --> 00:41:38,105
Yeah. Right?

1166
00:41:38,565 --> 00:41:39,385
And so,

1167
00:41:40,965 --> 00:41:43,125
the challenge is and if you've ever watched

1168
00:41:43,125 --> 00:41:43,625
somebody

1169
00:41:44,244 --> 00:41:46,829
load, you know, like an air container at

1170
00:41:46,829 --> 00:41:48,690
the airport Yeah. With luggage,

1171
00:41:49,069 --> 00:41:50,530
you know, they're making

1172
00:41:51,549 --> 00:41:52,849
thousands of decisions.

1173
00:41:53,230 --> 00:41:56,269
Yes. Right? Because what's coming to them just

1174
00:41:56,269 --> 00:41:57,949
comes as it comes, and they have to

1175
00:41:57,949 --> 00:41:59,664
pick this up and go, does this have

1176
00:41:59,664 --> 00:42:01,824
a good spot right now? If it does,

1177
00:42:01,824 --> 00:42:03,824
I'm shoving it in there. Yep. But they

1178
00:42:03,824 --> 00:42:04,484
may go,

1179
00:42:04,784 --> 00:42:06,545
this does not have a good spot for

1180
00:42:06,545 --> 00:42:08,144
the holes I'm looking at right now. I

1181
00:42:08,144 --> 00:42:09,585
gotta set this off to the side for

1182
00:42:09,585 --> 00:42:11,849
a minute. Yeah. Oh, but this one does,

1183
00:42:12,090 --> 00:42:13,690
especially if I combine it with this other

1184
00:42:13,690 --> 00:42:15,369
one on top. Let me shove these two

1185
00:42:15,369 --> 00:42:18,910
in. Yeah. Right? It's a really difficult problem.

1186
00:42:20,410 --> 00:42:22,349
And add to that the complexity

1187
00:42:22,650 --> 00:42:23,390
of crushability.

1188
00:42:24,355 --> 00:42:25,974
It might be the right size,

1189
00:42:26,275 --> 00:42:28,195
but it's too light, and I can't set

1190
00:42:28,195 --> 00:42:30,275
the heavier stuff on top of it. Yeah.

1191
00:42:30,275 --> 00:42:30,775
Depleted.

1192
00:42:31,635 --> 00:42:32,295
So computationally,

1193
00:42:32,755 --> 00:42:34,295
it could be hard m p.

1194
00:42:34,835 --> 00:42:37,635
Right? It's a very difficult problem. So,

1195
00:42:39,769 --> 00:42:40,269
automated

1196
00:42:40,650 --> 00:42:42,670
filling is difficult

1197
00:42:43,210 --> 00:42:45,210
at the end of the day. Yeah. So

1198
00:42:45,210 --> 00:42:46,989
you're going to have to,

1199
00:42:47,849 --> 00:42:51,690
either sacrifice on fill ratio because, hey. I

1200
00:42:51,690 --> 00:42:52,909
got rid of the labor

1201
00:42:53,214 --> 00:42:54,835
or that I couldn't find anyway.

1202
00:42:55,855 --> 00:42:57,694
But I was able to get the stuff

1203
00:42:57,694 --> 00:42:58,594
out the door

1204
00:42:58,974 --> 00:43:01,234
and, you know, we met quality specs.

1205
00:43:01,694 --> 00:43:04,655
The automation made fewer mistakes and sort of

1206
00:43:04,655 --> 00:43:07,375
how stacking was. You know, we had fewer

1207
00:43:07,375 --> 00:43:08,594
instances of damage.

1208
00:43:09,150 --> 00:43:11,469
All those would have to outweigh sort of

1209
00:43:11,469 --> 00:43:13,889
the loss of fill that you get. Yeah.

1210
00:43:14,589 --> 00:43:15,089
Or

1211
00:43:16,349 --> 00:43:18,609
you're going to have to have it be

1212
00:43:18,670 --> 00:43:21,250
that the automation took you this far,

1213
00:43:21,630 --> 00:43:23,389
and then the people came in and did

1214
00:43:23,389 --> 00:43:25,545
the rest. Mhmm. Mhmm. Right?

1215
00:43:25,925 --> 00:43:29,365
And this notion of robot human teams

1216
00:43:29,765 --> 00:43:32,005
Mhmm. Is really where I think this is

1217
00:43:32,005 --> 00:43:33,224
all gonna end up.

1218
00:43:34,164 --> 00:43:36,985
Right? I think it's too hard a problem

1219
00:43:37,125 --> 00:43:39,144
to try to get to a 100%

1220
00:43:39,204 --> 00:43:39,704
automation

1221
00:43:40,019 --> 00:43:40,920
in these applications.

1222
00:43:41,860 --> 00:43:44,500
And that's why the company is called, I

1223
00:43:44,500 --> 00:43:47,079
gotta go that way, PlusOne Robotics.

1224
00:43:47,860 --> 00:43:50,340
Right? Because that's my whole view of this

1225
00:43:50,340 --> 00:43:51,400
market is

1226
00:43:51,860 --> 00:43:53,239
when you're when variability

1227
00:43:53,539 --> 00:43:54,519
is the rule,

1228
00:43:55,085 --> 00:43:56,944
not repeatability, but variability,

1229
00:43:58,284 --> 00:44:00,684
AI is going to get to a point

1230
00:44:00,684 --> 00:44:02,924
where as good as it is, it's never

1231
00:44:02,924 --> 00:44:03,904
quite good enough.

1232
00:44:04,844 --> 00:44:06,869
But, boy, the people are really smart.

1233
00:44:07,349 --> 00:44:10,470
The people are clever. The people make better

1234
00:44:10,470 --> 00:44:10,970
judgments.

1235
00:44:11,990 --> 00:44:12,809
And so

1236
00:44:13,269 --> 00:44:13,769
team

1237
00:44:14,309 --> 00:44:15,369
your robots

1238
00:44:15,750 --> 00:44:18,309
with a human being. The human being is

1239
00:44:18,309 --> 00:44:19,275
the plus one,

1240
00:44:20,474 --> 00:44:22,714
and it's the reason that the entire system

1241
00:44:22,714 --> 00:44:23,534
works better.

1242
00:44:23,914 --> 00:44:24,414
Right?

1243
00:44:24,714 --> 00:44:27,194
Yeah. Yeah. You know, and it's a people

1244
00:44:27,194 --> 00:44:29,034
business. And it's funny. We used to have

1245
00:44:29,034 --> 00:44:31,355
somebody who'd say that it's a people business

1246
00:44:31,355 --> 00:44:33,680
talking about a one particular business, but when

1247
00:44:33,680 --> 00:44:35,280
it when it comes down to it, it's

1248
00:44:35,280 --> 00:44:37,039
like, we you and I don't go to

1249
00:44:37,039 --> 00:44:38,880
work so the trees in the forest grow

1250
00:44:38,880 --> 00:44:41,360
better or, you know, so the cows you

1251
00:44:41,360 --> 00:44:43,300
know, or for the fish in the sea.

1252
00:44:43,680 --> 00:44:46,480
Everything we do, virtually everything every human being

1253
00:44:46,480 --> 00:44:47,780
does is for society.

1254
00:44:48,965 --> 00:44:50,724
It's whether you're going to work to clean

1255
00:44:50,724 --> 00:44:52,485
the street or you're going to work to

1256
00:44:52,485 --> 00:44:53,385
pass a lawyer.

1257
00:44:53,684 --> 00:44:56,244
I mean, it's it's a people all businesses

1258
00:44:56,244 --> 00:44:58,485
really are people businesses. It's all about people,

1259
00:44:58,485 --> 00:45:01,440
whether it's feeding them, clothing them, entertaining them,

1260
00:45:02,079 --> 00:45:04,739
and helping them get better. And and so

1261
00:45:05,440 --> 00:45:07,280
always I always agree that I wanna have

1262
00:45:07,280 --> 00:45:09,119
people in the mix. I wanna have people

1263
00:45:09,119 --> 00:45:11,679
be the focus. It's not about lights out

1264
00:45:11,679 --> 00:45:12,179
factories.

1265
00:45:12,800 --> 00:45:14,639
Granted, if you had a system that you

1266
00:45:14,639 --> 00:45:16,000
were able to design that can do that,

1267
00:45:16,000 --> 00:45:18,335
that's fine. But, you know, there's a there's

1268
00:45:18,335 --> 00:45:18,914
a reason.

1269
00:45:19,375 --> 00:45:20,514
People need jobs.

1270
00:45:20,894 --> 00:45:23,375
People also wanna help other people. So, you

1271
00:45:23,375 --> 00:45:25,775
know, try you know, spending, you know, that

1272
00:45:25,775 --> 00:45:27,954
lag going that last mile, spending the extra,

1273
00:45:28,094 --> 00:45:29,775
you know, 50% to go that last mile

1274
00:45:29,775 --> 00:45:31,694
to me, you know, keep people involved. Keep

1275
00:45:31,694 --> 00:45:33,969
people in in the loop. And, you know,

1276
00:45:33,969 --> 00:45:35,489
we all know we don't want we don't

1277
00:45:35,489 --> 00:45:37,250
want robots talking to us on the phone.

1278
00:45:37,250 --> 00:45:39,329
We want a live human being who can

1279
00:45:39,329 --> 00:45:41,190
talk our language and is nice.

1280
00:45:41,489 --> 00:45:43,489
And Yes. But that's the same that's the

1281
00:45:43,489 --> 00:45:46,075
same in business too. You know? It's true.

1282
00:45:46,075 --> 00:45:48,235
Yeah. So that's that's how I So Yeah.

1283
00:45:48,954 --> 00:45:49,775
We you know,

1284
00:45:50,075 --> 00:45:51,295
if your audience

1285
00:45:51,755 --> 00:45:53,594
you know, if you follow plus one on

1286
00:45:53,594 --> 00:45:56,075
LinkedIn, we have a very active presence on

1287
00:45:56,075 --> 00:45:59,295
LinkedIn. You'll often find our hashtag there.

1288
00:45:59,610 --> 00:46:01,869
Hashtag robots work people rule.

1289
00:46:02,410 --> 00:46:05,470
Right? Right. Because that's that's the right relationship.

1290
00:46:05,930 --> 00:46:06,990
We want robots.

1291
00:46:07,369 --> 00:46:09,930
We want them to do things we care

1292
00:46:09,930 --> 00:46:10,829
not to do.

1293
00:46:11,369 --> 00:46:14,170
Absolutely. And so you want the robots to

1294
00:46:14,170 --> 00:46:16,545
do that, but the people are still in

1295
00:46:16,545 --> 00:46:17,045
charge.

1296
00:46:17,425 --> 00:46:19,525
The people are the ones making the determination

1297
00:46:20,144 --> 00:46:22,224
what that robot will and won't do. They're

1298
00:46:22,224 --> 00:46:24,224
the ones programming it. They're the ones, you

1299
00:46:24,224 --> 00:46:27,284
know, maintaining it. All of that happens,

1300
00:46:28,099 --> 00:46:30,660
for the people. And to your point, it's

1301
00:46:30,660 --> 00:46:32,599
people ultimately that reap the benefits.

1302
00:46:32,980 --> 00:46:35,940
Yeah. Guys? Yes. And so, you know, robots

1303
00:46:35,940 --> 00:46:37,780
work, people rule is,

1304
00:46:38,179 --> 00:46:39,320
you know, the way we

1305
00:46:39,619 --> 00:46:41,880
always frame it up here at plus one.

1306
00:46:42,114 --> 00:46:44,035
Yeah. So, guys, check out their LinkedIn. I

1307
00:46:44,035 --> 00:46:46,035
know most of you are on LinkedIn. Of

1308
00:46:46,035 --> 00:46:48,114
course, you can always connect with me, connect

1309
00:46:48,114 --> 00:46:50,695
with insights and automation and the automation school,

1310
00:46:50,835 --> 00:46:53,235
roll up on LinkedIn. But please, check out

1311
00:46:53,235 --> 00:46:55,635
PlusOne Robotics. I really enjoyed sitting down with

1312
00:46:55,635 --> 00:46:57,460
Eric and talking about all these. These are

1313
00:46:57,460 --> 00:46:59,780
these are topics we're we're talk we're kinda

1314
00:46:59,780 --> 00:47:01,940
zooming out here. We're talking about applications more

1315
00:47:01,940 --> 00:47:04,019
than actually the bits and bites, but I

1316
00:47:04,019 --> 00:47:05,940
hope you guys enjoyed it. I enjoyed it.

1317
00:47:05,940 --> 00:47:07,300
Eric, I I don't know. Is there any

1318
00:47:07,300 --> 00:47:09,220
closing thoughts? Anything else you wanna cover before

1319
00:47:09,220 --> 00:47:10,364
we close out the show?

1320
00:47:11,164 --> 00:47:13,804
No. Just, I wanted to thank you for

1321
00:47:13,804 --> 00:47:15,344
having me on, and,

1322
00:47:16,045 --> 00:47:18,545
you know, always happy to keep this conversation

1323
00:47:18,684 --> 00:47:20,864
going because I think it's an important one.

1324
00:47:21,405 --> 00:47:23,085
Yeah. We'd like to get you back on.

1325
00:47:23,085 --> 00:47:24,625
We'd love to have somebody,

1326
00:47:25,160 --> 00:47:27,320
from a three on to talk about just

1327
00:47:27,320 --> 00:47:29,160
their mission because we have covered them on

1328
00:47:29,160 --> 00:47:31,160
the new show many, many times. But, you

1329
00:47:31,160 --> 00:47:33,559
know, it's always better to hear from, you

1330
00:47:33,559 --> 00:47:35,000
know, like, when we hear directly from the

1331
00:47:35,000 --> 00:47:36,920
PROFINET guys or we hear directly from the

1332
00:47:36,920 --> 00:47:38,619
IO Link guys. It's good to hear

1333
00:47:38,925 --> 00:47:40,605
right from a three to hear what's going

1334
00:47:40,605 --> 00:47:41,644
on. I don't know if you have a

1335
00:47:41,644 --> 00:47:43,965
colleague who who can come on. We'd love

1336
00:47:43,965 --> 00:47:45,565
to get them on because they're doing an

1337
00:47:45,565 --> 00:47:47,965
important thing. And there's other organizations, like, we

1338
00:47:47,965 --> 00:47:49,644
have ISA on on a actually, we got

1339
00:47:49,644 --> 00:47:51,405
a an episode coming up with ISA that's

1340
00:47:51,405 --> 00:47:52,364
already been recorded. But,

1341
00:47:53,130 --> 00:47:54,569
in any case, Eric, I wanna thank you

1342
00:47:54,569 --> 00:47:55,929
for coming on. Love to get you back

1343
00:47:55,929 --> 00:47:57,449
on maybe in the six months to talk

1344
00:47:57,449 --> 00:47:59,609
about what's new and exciting and maybe some

1345
00:47:59,609 --> 00:48:01,449
things we didn't cover today, but just really

1346
00:48:01,449 --> 00:48:03,389
wanna appreciate you coming on the show today.

1347
00:48:04,010 --> 00:48:06,485
Thank you, Sean. It was a great, time

1348
00:48:06,485 --> 00:48:08,085
to be together. Well, I hope you guys

1349
00:48:08,085 --> 00:48:09,684
enjoyed that episode, and I wanna thank you

1350
00:48:09,684 --> 00:48:11,204
all for tuning back in. I also wanna

1351
00:48:11,204 --> 00:48:12,965
thank our members. Really appreciate you guys. You

1352
00:48:12,965 --> 00:48:15,204
know, we're a very small niche. In industrial

1353
00:48:15,204 --> 00:48:18,405
automation, there's a total audience of probably 80,000

1354
00:48:18,405 --> 00:48:18,905
people.

1355
00:48:19,500 --> 00:48:21,360
And, so I really appreciate,

1356
00:48:21,980 --> 00:48:24,059
all of you, all of the audience, and

1357
00:48:24,059 --> 00:48:25,900
especially our members who go the extra mile

1358
00:48:25,900 --> 00:48:28,860
to donate $5.10, or $25 a month towards

1359
00:48:28,860 --> 00:48:30,699
the channel to keep us going. I really

1360
00:48:30,699 --> 00:48:32,744
appreciate you guys. We don't have thousands of

1361
00:48:32,744 --> 00:48:34,424
members, but I do appreciate all the ones

1362
00:48:34,424 --> 00:48:36,264
we do have. With that said, I do

1363
00:48:36,264 --> 00:48:38,424
have a programming note. We do have one

1364
00:48:38,424 --> 00:48:40,905
more episode coming out this year. That's gonna

1365
00:48:40,905 --> 00:48:43,784
be next week, and I interview a, big

1366
00:48:43,784 --> 00:48:46,369
player at one of the automation companies we've

1367
00:48:46,369 --> 00:48:48,150
talked about many times over the years.

1368
00:48:48,530 --> 00:48:49,969
And, so I think you guys will enjoy

1369
00:48:49,969 --> 00:48:51,170
that. And then there's gonna be a gap

1370
00:48:51,170 --> 00:48:52,769
of two to three weeks. We we already

1371
00:48:52,769 --> 00:48:53,269
have,

1372
00:48:53,809 --> 00:48:55,730
episodes for next year film, and we have,

1373
00:48:55,890 --> 00:48:57,190
new ones being recorded.

1374
00:48:57,675 --> 00:48:59,675
But, I'm gonna be traveling for the holidays

1375
00:48:59,675 --> 00:49:01,275
and some other things going on, so we

1376
00:49:01,275 --> 00:49:03,275
will have a gap. Probably be back the

1377
00:49:03,275 --> 00:49:04,394
January.

1378
00:49:04,394 --> 00:49:07,195
So with that said, I wanna recommend check

1379
00:49:07,195 --> 00:49:09,934
out my other show, the History of Automation

1380
00:49:10,155 --> 00:49:11,135
show and podcast.

1381
00:49:11,539 --> 00:49:14,019
It's not on any audio platforms yet, but

1382
00:49:14,019 --> 00:49:15,780
you can get it at the automationblog.com,

1383
00:49:15,780 --> 00:49:17,079
on YouTube, and on LinkedIn.

1384
00:49:17,619 --> 00:49:20,119
In next week's episode, we actually interviewed

1385
00:49:20,659 --> 00:49:22,739
one of the people on the engineering team

1386
00:49:22,739 --> 00:49:25,574
that developed the Modicon o 84. That's right.

1387
00:49:25,815 --> 00:49:27,815
This is the guy who actually developed the

1388
00:49:27,815 --> 00:49:28,315
firmware,

1389
00:49:28,695 --> 00:49:30,135
you know, so you could program it in

1390
00:49:30,135 --> 00:49:33,175
ladder logic. And it's just so interesting. So

1391
00:49:33,175 --> 00:49:35,355
if you're looking for something to listen to,

1392
00:49:35,734 --> 00:49:37,655
over that, the course of the holidays when

1393
00:49:37,655 --> 00:49:39,594
I'm not back on here with the podcast,

1394
00:49:40,150 --> 00:49:41,829
check out the history of automation. You'll find

1395
00:49:41,829 --> 00:49:43,210
it on the automation blog,

1396
00:49:43,510 --> 00:49:44,730
YouTube, and on LinkedIn.

1397
00:49:45,110 --> 00:49:46,869
And someday when we raise enough money to

1398
00:49:46,869 --> 00:49:49,829
actually launch the nonprofit, we'll probably do audio

1399
00:49:49,829 --> 00:49:51,349
as well. I'm I've been looking into that

1400
00:49:51,349 --> 00:49:53,414
as well, trying to find a service that

1401
00:49:53,414 --> 00:49:54,855
I could move to that will let me

1402
00:49:54,855 --> 00:49:57,015
do that one for free while, I do

1403
00:49:57,015 --> 00:49:59,335
these others for business. But in any case,

1404
00:49:59,494 --> 00:50:01,015
I do wanna wish you all good health

1405
00:50:01,015 --> 00:50:04,375
and happiness. Please enjoy your holiday season. And,

1406
00:50:04,535 --> 00:50:06,215
don't forget, we do have one more episode

1407
00:50:06,215 --> 00:50:08,637
coming out next week. And with that, until

1408
00:50:08,637 --> 00:50:09,697
next time, my friends.

1409
00:50:10,476 --> 00:50:10,976
Peace.